Remote Real Estate Data Analyst

Placements24; Queenstown; Hybrid; NZD 48,000 - 80,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Bonuses

Professional development

Fully remote

Data analysis tools

Collaborative environment

Retirement plan

Job summary

PropTech Solutions is seeking a data analyst to collect, clean, and analyze large real estate datasets, turning insights into strategic guidance. You will build dashboards and collaborate with product, marketing, and investment teams to shape product and market strategies.

The role requires strong SQL, data visualization (Tableau/Power BI), and proficiency in Python or R, with 3+ years of experience in data analysis, preferably in real estate. This is a fully remote position.

Qualifications

• Bachelor's or Master's in a quantitative field.
• 3+ years data analyst experience, preferably real estate.
• Strong SQL and data visualization skills.
• Proficiency in Python or R and statistics.

Responsibilities

• Collect, clean, and process large real estate datasets.
• Perform statistical analysis and modeling to identify trends.
• Develop dashboards and reports to visualize KPIs and insights.
• Collaborate with product, marketing, and investment teams.
• Present findings clearly to technical and non-technical audiences.
• Stay current with data analysis best practices.

Skills

Analytical thinking

Statistical reasoning

Communication skills

Independent work

Problem solving

Education

Bachelor's or Master's in Data Science, Statistics, Economics, CS, Mathematics

Tools

SQL

Tableau

Power BI

Python

R

Job description

About the Role

Our client, a leading proptech company, is seeking a highly analytical and detail-oriented Remote Real Estate Data Analyst to join their innovative team. This fully remote position allows you to contribute to key business decisions from anywhere within South Africa. You will be responsible for collecting, cleaning, analyzing, and interpreting vast amounts of real estate data to identify trends, generate insights, and support strategic initiatives. Your work will directly influence product development, market strategies, and investment decisions. The ideal candidate possesses strong quantitative skills, a deep understanding of data analysis tools, and a keen interest in the real estate industry. This is an excellent opportunity to work with cutting-edge technology and play a significant role in shaping the future of real estate insights. We need someone who can transform complex data into actionable intelligence for our stakeholders.

Key Responsibilities

• Collect, clean, and process large datasets from various real estate sources, ensuring data integrity and accuracy.
• Perform in-depth statistical analysis and modeling to identify market trends, predict future performance, and uncover patterns.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and insights for stakeholders.
• Collaborate with product, marketing, and investment teams to understand their data needs and provide analytical support.
• Identify opportunities for data-driven improvements in product features, marketing campaigns, and investment strategies.
• Conduct ad-hoc analysis to answer specific business questions and support strategic decision-making.
• Stay current with industry best practices in data analysis, statistical modeling, and real estate market intelligence.
• Utilize advanced analytical tools and techniques to extract maximum value from available data.
• Present findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Contribute to the development and refinement of data collection and analysis methodologies.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience (3+ years) as a Data Analyst, preferably with exposure to the real estate sector.
• Strong proficiency in SQL for data extraction and manipulation.
• Expertise in data visualization tools such as Tableau, Power BI, or similar.
• Proficiency in statistical programming languages like Python or R.
• Solid understanding of statistical modeling, machine learning concepts, and data mining techniques.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data insights effectively.
• Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
• Familiarity with real estate data sources and market dynamics is a significant advantage.

Benefits

• Competitive salary package.
• Comprehensive health, dental, and vision insurance.
• Generous performance-based bonuses.
• Significant opportunities for professional development and skill enhancement.
• Flexible working hours and a fully remote work setup.
• Access to state-of-the-art data analysis tools and platforms.
• Collaborative and intellectually stimulating work environment.
• Retirement savings plan.